user_id stringlengths 2 6 | age int64 1 71 | age_group stringclasses 6 values | country_code stringclasses 129 values | country_name stringclasses 129 values | gender stringclasses 2 values | split stringclasses 1 value |
|---|---|---|---|---|---|---|
12706 | 27 | 20s | PE | Peru | female | train |
43298 | 37 | 30s | RU | Russia | male | train |
9486 | 19 | 10s | PL | Poland | male | train |
42119 | 28 | 20s | IR | Iran | female | train |
7947 | 30 | 30s | RU | Russia | male | train |
5249 | 22 | 20s | US | United States | male | train |
4514 | 23 | 20s | US | United States | female | train |
10995 | 33 | 30s | FR | France | male | train |
38876 | 19 | 10s | PL | Poland | male | train |
44880 | 23 | 20s | US | United States | female | train |
26686 | 18 | 10s | BR | Brazil | male | train |
19617 | 21 | 20s | UK | United Kingdom | male | train |
20009 | 26 | 20s | US | United States | male | train |
11512 | 23 | 20s | IT | Italy | male | train |
687 | 31 | 30s | US | United States | male | train |
17998 | 23 | 20s | SE | Sweden | male | train |
57793 | 23 | 20s | HR | Croatia | male | train |
36896 | 22 | 20s | BR | Brazil | female | train |
6071 | 38 | 30s | NL | Netherlands | male | train |
12373 | 23 | 20s | BR | Brazil | female | train |
9311 | 21 | 20s | PL | Poland | male | train |
18714 | 22 | 20s | BE | Belgium | female | train |
8956 | 23 | 20s | BE | Belgium | male | train |
102306 | 23 | 20s | NP | Nepal | male | train |
18442 | 32 | 30s | BR | Brazil | male | train |
14458 | 22 | 20s | BR | Brazil | female | train |
14669 | 22 | 20s | KZ | Kazakhstan | female | train |
21055 | 31 | 30s | NL | Netherlands | male | train |
53897 | 23 | 20s | UK | United Kingdom | male | train |
18899 | 19 | 10s | CZ | Czech Republic | male | train |
11036 | 21 | 20s | US | United States | male | train |
26550 | 29 | 20s | DE | Germany | female | train |
15014 | 24 | 20s | NL | Netherlands | female | train |
13592 | 22 | 20s | DE | Germany | male | train |
11308 | 27 | 20s | FR | France | male | train |
21069 | 20 | 20s | EE | Estonia | male | train |
2461 | 21 | 20s | FI | Finland | male | train |
52244 | 19 | 10s | BR | Brazil | male | train |
17259 | 20 | 20s | PL | Poland | female | train |
5007 | 26 | 20s | UK | United Kingdom | male | train |
38386 | 25 | 20s | US | United States | female | train |
2547 | 33 | 30s | NL | Netherlands | male | train |
82164 | 13 | 10s | PL | Poland | male | train |
48090 | 29 | 20s | US | United States | female | train |
18364 | 27 | 20s | RO | Romania | male | train |
33547 | 34 | 30s | NL | Netherlands | male | train |
22401 | 21 | 20s | DE | Germany | male | train |
2801 | 23 | 20s | US | United States | male | train |
48897 | 17 | 10s | RU | Russia | female | train |
40480 | 21 | 20s | RU | Russia | male | train |
15382 | 24 | 20s | PL | Poland | female | train |
7288 | 20 | 20s | PL | Poland | female | train |
80915 | 16 | 10s | ID | Indonesia | female | train |
22676 | 21 | 20s | MX | Mexico | male | train |
36959 | 19 | 10s | BR | Brazil | male | train |
72771 | 15 | 10s | PL | Poland | female | train |
1654 | 42 | 40s | UK | United Kingdom | male | train |
56903 | 36 | 30s | AU | Australia | female | train |
44068 | 29 | 20s | US | United States | male | train |
25611 | 20 | 20s | UK | United Kingdom | male | train |
47240 | 21 | 20s | NL | Netherlands | male | train |
11927 | 20 | 20s | FI | Finland | female | train |
26897 | 21 | 20s | PL | Poland | female | train |
11484 | 20 | 20s | PL | Poland | female | train |
9341 | 20 | 20s | US | United States | female | train |
1250 | 51 | 50s | UK | United Kingdom | male | train |
106666 | 22 | 20s | DK | Denmark | male | train |
66271 | 22 | 20s | NL | Netherlands | male | train |
45340 | 18 | 10s | NO | Norway | female | train |
7727 | 32 | 30s | US | United States | male | train |
56239 | 23 | 20s | DE | Germany | male | train |
23441 | 28 | 20s | NL | Netherlands | male | train |
25999 | 19 | 10s | SE | Sweden | female | train |
73686 | 21 | 20s | BR | Brazil | male | train |
1219 | 30 | 30s | PT | Portugal | male | train |
9459 | 22 | 20s | CA | Canada | male | train |
18450 | 19 | 10s | NL | Netherlands | male | train |
1543 | 26 | 20s | SE | Sweden | male | train |
47104 | 24 | 20s | RU | Russia | female | train |
2485 | 27 | 20s | DE | Germany | male | train |
11637 | 22 | 20s | NO | Norway | female | train |
938 | 26 | 20s | UK | United Kingdom | male | train |
25165 | 25 | 20s | UK | United Kingdom | male | train |
17194 | 53 | 50s | ES | Spain | male | train |
27154 | 17 | 10s | UK | United Kingdom | male | train |
26740 | 23 | 20s | UA | Ukraine | male | train |
33041 | 23 | 20s | DE | Germany | female | train |
20276 | 29 | 20s | ES | Spain | male | train |
74545 | 14 | 10s | PY | Paraguay | female | train |
52196 | 20 | 20s | US | United States | male | train |
71675 | 19 | 10s | BR | Brazil | male | train |
9794 | 22 | 20s | UK | United Kingdom | male | train |
1402 | 28 | 20s | US | United States | male | train |
56268 | 18 | 10s | BR | Brazil | female | train |
23579 | 25 | 20s | US | United States | male | train |
44118 | 18 | 10s | PL | Poland | female | train |
56075 | 19 | 10s | CA | Canada | male | train |
7328 | 31 | 30s | US | United States | male | train |
18736 | 25 | 20s | BR | Brazil | male | train |
7944 | 30 | 30s | DE | Germany | male | train |
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